2243 Fractal dimension and lacunarity as predictive radiomic features for relapse in pulmonary nodules

Pagola, Maria; Urien, Josune; Saenz de Urturi, Eva; Goñi, Alai; De Paula, Belen

View/Open

ABSTRACT ESTRO 2025.pdf (81.87Kb)

Full record

Impact

Save the reference

Title

2243 Fractal dimension and lacunarity as predictive radiomic features for relapse in pulmonary nodules

Author

Other institutions

https://ror.org/041g1ry61

Version

Postprint

Rights

Access

Embargoed access

URI

https://hdl.handle.net/20.500.11984/13906

Publisher’s version

http://doi.org/10.1016/S0167-8140(25)00931-4

Published at

Radiotherapy & Oncology Vol. 206. Sup. 1. May 2025

xmlui.dri2xhtml.METS-1.0.item-publicationfirstpage

S1346

xmlui.dri2xhtml.METS-1.0.item-publicationlastpage

S1347

Publisher

Elsevier

Keywords

Lung nodules
Fractal dimension
Lacunarity

Abstract

Radiomic features such as fractal dimension and lacunarity have shown promising results in tumor analysis, characterizing the structural complexity and internal heterogeneity of pulmonary nodules in CT images. However, select those providing relevant information without redundancy of the large number of available radiomic variables is necessary. This preliminary study investigates the predictive potential of fractal-dimension and lacunarity for early relapse in patients with pulmonary nodules treated with SBRT. [-]